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Related Experiment Video

Updated: Jun 29, 2026

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

Model-based design of clinical information systems.

J Mathe¹, J Werner, Y Lee

¹Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, Tennessee, USA. jmathe@isis.vanderbilt.edu

Methods of Information in Medicine

|October 15, 2008

Summary

This study introduces a framework for developing secure clinical information systems using model-based design. The Model-Integrated Clinical Information System (MICIS) enables secure development, simulation, and deployment of healthcare IT prototypes.

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Last Updated: Jun 29, 2026

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

Area of Science:

Health Informatics
Software Engineering
Computer Science

Background:

Developing secure and privacy-preserving clinical information systems is critical.
Traditional development methods can be complex and lack formal policy enforcement.

Purpose of the Study:

To present a framework for model-based development, simulation, and deployment of clinical information system prototypes.
To integrate security and privacy policy enforcement mechanisms into the development lifecycle.

Main Methods:

Developed the Model-Integrated Clinical Information System (MICIS) toolkit.
Utilized model-based design techniques and high-level modeling abstractions.
Represented clinical workflows within a service-oriented architecture.
Translated models into executable constructs (web services, BPEL, deployment instructions).
Enriched MICIS models with formal security and privacy specifications.

Main Results:

Successfully validated the design platform through modeling and deployment of multiple clinical workflows.
Demonstrated the feasibility of enforcing security and privacy policies within the execution environment.

Conclusions:

Model-based development offers a promising approach for creating clinical information systems.
This method facilitates the development, simulation, and evolution of systems with formal properties and policy restrictions.